A Cross-Validation Approach to Inter-Scorer Reliability Assessment
Fernandez C1,2 • Rusk S1,2 • Glattard N1,2 • Hensen B2, Shokoueinejad M3 • Creado S2 • Hungerford J4 Download
Computational Phenotyping in Polysomnography: Using Interpretable Physiology-Based Machine Learning Models to Predict Health Outcomes
Fernandez C1,2 • Rusk S1,2 • Glattard N1,2 • Shokoueinejad M3 Download the Abstract Download the Poster Download the Presentation
Sleep Apnea: A Review of Diagnostic Sensors, Algorithms, and Therapies
Mehdi Shokoueinejad1,2,3 • Chris Fernandez2,3 • Emily Carroll4 • Fa Wang5 • Jake Levin1 • Sam Rusk2,3 • Nick Glattard2,3 • Ashley
A Modeling Study on Inspired CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and Experiment
Mehdi Shokoueinejad1,4 • Arman Pazouki2 • Jake Levin1 • Fa Wang3 • Chris Fernandez1 • Samuel Rusk3 • Icaro dos Santos1 • Ashley Mulchrone1 • Jerome Dempsey4 • John
Sleep Scoring Automation Via Large Scale Machine Learning
Chris R. Fernandez1 • Samuel J. Rusk1 • Nick J. Glattard1 • Mehdi Shokoueinejad2 Download the Abstract Overview In this
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
Kevin Jamieson1 • Lalit Jain2 • Chris Fernandez2 • Nick Glattard2 • Robert Nowak2 Download the Study Active learning methods automatically
“Be thoughtful, be mindful, and take your time in situations where bias could be present.”
Andrea Ramberg, RPSGT, CCSH EnsoData Clinical Director
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